Jobs at CapTech

Develop and architect Salesforce solutions for consulting clients across the software development lifecycle. Lead technical design sessions, manage custom development, integrations, and data migrations, and provide expert guidance to developers. Collaborate with clients, manage technical scope and expectations, optimize business processes, and demonstrate technical leadership using Salesforce, Apex, Visualforce, integration tools, and related enterprise technologies.

Technical Business Systems Analysts translate business objectives into functional and technical requirements, support solution design, analyze data, document integrations and system workflows, and guide initiatives through discovery, development, testing, and deployment. They collaborate with business stakeholders, architects, engineers, and product teams on enterprise applications, modernization, integrations, Agile delivery, data mapping, user stories, acceptance criteria, and UAT. The role requires client-facing consulting skills and regular onsite work based on engagement needs.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

Machine Learning Engineers design and implement data-driven solutions, build scalable ML systems, and collaborate with cross-functional teams at CapTech.

Lead cross-functional delivery teams on complex consulting engagements, build trusted client relationships, develop and report integrated program plans, manage scope/risk/issue triage, and perform hands-on analysis, design, process engineering, and change management. Advocate digital accessibility and inclusive design throughout projects.

Lead strategic planning, implementation, configuration, integration, and continuous improvement for Microsoft Power Platform and Dynamics 365 ecosystems. Assess client processes, develop CRM and ERP roadmaps, deploy Dynamics 365 Customer Service and self-service capabilities, advise on organizational structures, and guide cross-functional teams. Deliver user training, support adoption, and translate technical concepts for nontechnical stakeholders while supporting major transformation initiatives.

Designs, deploys, monitors, and improves applications and infrastructure across physical servers and private and public cloud environments. Responsibilities include building monitoring systems, defining SDLC automation and configuration management strategies, managing CI/CD and release automation, provisioning infrastructure, troubleshooting distributed systems, and contributing to software development. The role collaborates across development and operations teams and supports continuous improvement of engineering workflows.

Design, build, and maintain cloud data pipelines and data products across AWS, Azure, or GCP. Advise clients on cloud data architecture, implement production database and ETL/streaming solutions, collaborate with stakeholders, and evaluate architectural tradeoffs to meet business needs.

Lead data strategy and delivery for clients by assessing architectures, defining data management and governance, recommending technologies, and mentoring teams. Translate business needs into actionable roadmaps, scope consulting engagements, and guide implementation of integrations, real-time streaming, NoSQL, and cloud data platforms.

Design and recommend end-to-end data architectures, assess data management technologies, improve data integration/quality, guide modernization (cloud, streaming, NoSQL, warehousing), mentor staff, collaborate with stakeholders, and support business development to deliver data-driven solutions.

Lead requirements elicitation and solution design for enterprise-scale integrations and modernization efforts. Translate business needs into functional and technical requirements, support data analysis and mappings, partner with architects and engineers, write user stories and acceptance criteria, and coordinate testing and validation while advising clients and mentoring analysts.

Design, implement, and maintain cloud-based data pipelines and platforms. Advise clients on best practices, integrate disparate data sources, optimize data warehousing/lake solutions, mentor engineers, and ensure scalable, maintainable data architectures across cloud environments.